interface publique BundleEntryProtoOrBuilder
| Sous-classes indirectes connues |
Méthodes publiques
| abstrait entier | obtenirCrc32C () The CRC32C checksum of the tensor bytes. |
| Type de données abstrait | getDtype () The tensor dtype and shape. |
| abstrait entier | getDtypeValue () The tensor dtype and shape. |
| abstrait long | getOffset () int64 offset = 4; |
| TensorShapeProto abstrait | obtenirForme () .tensorflow.TensorShapeProto shape = 2; |
| abstrait TensorShapeProtoOrBuilder | getShapeOrBuilder () .tensorflow.TensorShapeProto shape = 2; |
| abstrait entier | getShardId () The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size). |
| abstrait long | obtenirTaille () int64 size = 5; |
| abstrait TensorSliceProto | getSlices (index entier) Iff present, this entry represents a partitioned tensor. |
| abstrait entier | getSlicesCount () Iff present, this entry represents a partitioned tensor. |
| Liste abstraite< TensorSliceProto > | getSlicesList () Iff present, this entry represents a partitioned tensor. |
| abstrait TensorSliceProtoOrBuilder | getSlicesOrBuilder (index int) Iff present, this entry represents a partitioned tensor. |
| Liste abstraite <? étend TensorSliceProtoOrBuilder > | getSlicesOrBuilderList () Iff present, this entry represents a partitioned tensor. |
| booléen abstrait | aForme () .tensorflow.TensorShapeProto shape = 2; |
Méthodes publiques
public abstrait int getCrc32C ()
The CRC32C checksum of the tensor bytes.
fixed32 crc32c = 6; Type de données abstrait public getDtype ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; public abstrait int getDtypeValue ()
The tensor dtype and shape.
.tensorflow.DataType dtype = 1; public abstrait long getOffset ()
int64 offset = 4;
résumé public TensorShapeProtoOrBuilder getShapeOrBuilder ()
.tensorflow.TensorShapeProto shape = 2;
public abstrait int getShardId ()
The binary content of the tensor lies in: File "shard_id": bytes [offset, offset + size).
int32 shard_id = 3; public abstrait long getSize ()
int64 size = 5;
résumé public TensorSliceProto getSlices (index int)
Iff present, this entry represents a partitioned tensor. The previous
fields are interpreted as follows:
"dtype", "shape": describe the full tensor.
"shard_id", "offset", "size", "crc32c": all IGNORED.
These information for each slice can be looked up in their own
BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7; public abstrait int getSlicesCount ()
Iff present, this entry represents a partitioned tensor. The previous
fields are interpreted as follows:
"dtype", "shape": describe the full tensor.
"shard_id", "offset", "size", "crc32c": all IGNORED.
These information for each slice can be looked up in their own
BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7; Liste abstraite publique < TensorSliceProto > getSlicesList ()
Iff present, this entry represents a partitioned tensor. The previous
fields are interpreted as follows:
"dtype", "shape": describe the full tensor.
"shard_id", "offset", "size", "crc32c": all IGNORED.
These information for each slice can be looked up in their own
BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7; résumé public TensorSliceProtoOrBuilder getSlicesOrBuilder (index int)
Iff present, this entry represents a partitioned tensor. The previous
fields are interpreted as follows:
"dtype", "shape": describe the full tensor.
"shard_id", "offset", "size", "crc32c": all IGNORED.
These information for each slice can be looked up in their own
BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7; Liste des résumés publics<? étend TensorSliceProtoOrBuilder > getSlicesOrBuilderList ()
Iff present, this entry represents a partitioned tensor. The previous
fields are interpreted as follows:
"dtype", "shape": describe the full tensor.
"shard_id", "offset", "size", "crc32c": all IGNORED.
These information for each slice can be looked up in their own
BundleEntryProto, keyed by each "slice_name".
repeated .tensorflow.TensorSliceProto slices = 7; public abstrait booléen hasShape ()
.tensorflow.TensorShapeProto shape = 2;